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URL: https://www.cdata.com/kb/tech/snowflake-cloud-qlikcloud.rst

⇱ Create Apps from Snowflake Data in Qlik Sense Cloud

Create Apps from Snowflake Data in Qlik Sense Cloud

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to Snowflake Data and build apps from live Snowflake data in Qlik Sense Cloud.

Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. CData Connect AI creates a live connection to Snowflake. By pairing Qlik Sense Cloud with CData Connect AI, you get true cloud-to-cloud connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect AI from Qlik Sense Cloud and get instant, live access to your Snowflake data.

In this article, we walk through two connections:

  1. Connecting to Snowflake in Connect AI
  2. Connecting to Connect AI from Qlik Sense Cloud to create a model and build a simple dashboard

About Snowflake Data Integration

CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:

  • Reads and write Snowflake data quickly and efficiently.
  • Dynamically obtain metadata for the specified Warehouse, Database, and Schema.
  • Authenticate in a variety of ways, including OAuth, OKTA, Azure AD, Azure Managed Service Identity, PingFederate, private key, and more.

Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.

For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.


Getting Started


Configure Snowflake Connectivity for Qlik Sense Cloud

Connectivity to Snowflake from Qlik Cloud is made possible through CData Connect AI. To work with Snowflake data from Qlik Cloud, we start by creating and configuring a Snowflake connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Snowflake" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Snowflake.

    To connect to Snowflake:

    1. Set User and Password to your Snowflake credentials and set the AuthScheme property to PASSWORD or OKTA.
    2. Set URL to the URL of the Snowflake instance (i.e.: https://myaccount.snowflakecomputing.com).
    3. Set Warehouse to the Snowflake warehouse.
    4. (Optional) Set Account to your Snowflake account if your URL does not conform to the format above.
    5. (Optional) Set Database and Schema to restrict the tables and views exposed.
    6. (Optional) If MFA is enabled on your Snowflake account (via Duo Security), set MFACode to the passcode generated by your Duo authenticator app.

    See the Getting Started guide in the CData driver documentation for more information.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Snowflake Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Snowflake data from Qlik Sense Cloud.

Create a Qlik Sense App from Snowflake Data

This section explains how to add Snowflake data to a Qlik Sense app for visualizations, analytics, reporting, and more.

Create a New App and Upload Data

  1. Log into your Qlik Sense instance and click the button to create a new app 👁 Creating a new app
  2. Name and configure the new app and click "Create"
  3. In the workspace, click to open the new app
  4. Click to add data from files and other sources 👁 Selecting a connector
  5. Select the Microsoft SQL Server connector and set the configuration properties.
    • Set Server to tds.cdata.com
    • Set Port to 14333
    • Set Database to the connection you created (e.g. Snowflake1)
    • Set User name to the Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the above user
    👁 Configuring the connection
  6. Select an owner for the connection
  7. Select a Snowflake entity (Table) to view 👁 Adding data to the app (Salesforce is shown.)
  8. Click Next, configure the model, and load the data into Qlik Sense.

Generate Insights or Customize Your App

With the data loaded into Qlik Sense, you are ready to begin discovering insights. You can build custom visualizations, reports, and dashboards engineered to gain actionable insights into your Snowflake data.

👁 Generating insights on live data (Salesforce is shown.)

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Snowflake data. For more information on creating OData feeds from Snowflake (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Snowflake data in Qlik Sense Cloud.